Revisiting the Trade-Off Between Accuracy and Robustness via Weight Distribution of Filters

Adversarial attacks have been proven to be potential threats to Deep Neural Networks (DNNs), and many methods are proposed to defend against adversarial attacks. However, while enhancing the robustness, the accuracy for clean examples will decline to a certain extent, implying a trade-off existed be...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence 2024-12, Vol.46 (12), p.8870-8882
Hauptverfasser:	Wei, Xingxing, Zhao, Shiji, Li, Bo
Format:	Artikel
Sprache:	eng
Schlagworte:	accuracy-robustness trade-off Adversarial examples adversarial robustness dynamic network structure Filters Optimization Regulation Robustness Testing Training
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